Advanced

Revisiting MMSE Combining for Massive MIMO over Heterogeneous Propagation Channels

Tataria, Harsh LU ; Smith, Peter J; Matthaiou, Michail; Ngo, Hien Quoc and Dmochowski, Pawel A (2018) IEEE International Conference on Communications (ICC) 2018
Abstract
We consider a massive multiple-input multiple- output system with minimum-mean-squared-error processing on the uplink. A novel analytical framework is proposed to approximate the instantaneous signal-to-interference-plus-noise- ratio (SINR) of an arbitrary user terminal, as well as, the system sum spectral efficiency. Unlike previous studies, our methodology considers spatially correlated Ricean fading, with unequal Ricean K-factors, spatial correlation matrices and link gains across all terminals. Under this fully heterogeneous setting, we demonstrate that the SINR of a terminal can be tightly approximated by a linear combination of non-central chi-squared random variables, where the scaling depends on the individual link gains,... (More)
We consider a massive multiple-input multiple- output system with minimum-mean-squared-error processing on the uplink. A novel analytical framework is proposed to approximate the instantaneous signal-to-interference-plus-noise- ratio (SINR) of an arbitrary user terminal, as well as, the system sum spectral efficiency. Unlike previous studies, our methodology considers spatially correlated Ricean fading, with unequal Ricean K-factors, spatial correlation matrices and link gains across all terminals. Under this fully heterogeneous setting, we demonstrate that the SINR of a terminal can be tightly approximated by a linear combination of non-central chi-squared random variables, where the scaling depends on the individual link gains, K-factors, and eigenvalues of the terminal specific correlation matrices. Our approximations remain tight across the considered spatial correlation models, K-factor models, average uplink signal-to-noise-ratios and number of receive antennas. Leveraging the general form of the SINR and sum spectral efficiency, an analytical method to approximate their statistical moments is presented utilizing the moment generating function. The generality of the aforementioned analytical results is demonstrated via several special cases of practical relevance. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
MMSE combining, Massive MIMO, SINR analysis, Ricean fading channels, Heterogeneous systems
host publication
IEEE International Conference on Communications (ICC) 2018
pages
7 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Communications (ICC) 2018
conference location
Kansas City, United States
conference dates
2018-05-23 - 2018-05-27
external identifiers
  • scopus:85051442142
ISBN
978-1-5386-3180-5
978-1-5386-3181-2
DOI
10.1109/ICC.2018.8422340
language
English
LU publication?
no
id
2aa38285-f379-4ca8-b71a-7082d0ce349a
date added to LUP
2018-11-28 12:01:31
date last changed
2019-04-10 04:17:22
@inproceedings{2aa38285-f379-4ca8-b71a-7082d0ce349a,
  abstract     = {We consider a massive multiple-input multiple- output system with minimum-mean-squared-error processing on the uplink. A novel analytical framework is proposed to approximate the instantaneous signal-to-interference-plus-noise- ratio (SINR) of an arbitrary user terminal, as well as, the system sum spectral efficiency. Unlike previous studies, our methodology considers spatially correlated Ricean fading, with unequal Ricean K-factors, spatial correlation matrices and link gains across all terminals. Under this fully heterogeneous setting, we demonstrate that the SINR of a terminal can be tightly approximated by a linear combination of non-central chi-squared random variables, where the scaling depends on the individual link gains, K-factors, and eigenvalues of the terminal specific correlation matrices. Our approximations remain tight across the considered spatial correlation models, K-factor models, average uplink signal-to-noise-ratios and number of receive antennas. Leveraging the general form of the SINR and sum spectral efficiency, an analytical method to approximate their statistical moments is presented utilizing the moment generating function. The generality of the aforementioned analytical results is demonstrated via several special cases of practical relevance.},
  author       = {Tataria, Harsh and Smith, Peter J and Matthaiou, Michail and Ngo, Hien Quoc and Dmochowski, Pawel A},
  isbn         = {978-1-5386-3180-5},
  keyword      = {MMSE combining,Massive MIMO,SINR analysis,Ricean fading channels,Heterogeneous systems},
  language     = {eng},
  location     = {Kansas City, United States},
  month        = {05},
  pages        = {7},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Revisiting MMSE Combining for Massive MIMO over Heterogeneous Propagation Channels},
  url          = {http://dx.doi.org/10.1109/ICC.2018.8422340},
  year         = {2018},
}